C2-Bonus_Unit_1-Introduction_to_Deep_Reinforcement_Learning_with_Huggy-D3-Play_with_Huggy

中英文对照学习，效果更佳！
原课程链接：https://huggingface.co/deep-rl-course/unitbonus2/hands-on?fw=pt

Play with Huggy

和Huggy一起玩

Now that you’ve trained Huggy and pushed it to the Hub. You will be able to play with him ❤️

现在你已经训练了Huggy并把它推给了Hub。你将能够和他一起玩❤️

For this step it’s simple:

这一步很简单：

• Open the game Huggy in your browser: https://huggingface.co/spaces/ThomasSimonini/Huggy
• Click on Play with my Huggy model

在浏览器中打开游戏Huggy：https://huggingface.co/spaces/ThomasSimonini/HuggyClick on Play With My Huggy Model Load-Huggy

1. In step 1, choose your model repository which is the model id (in my case ThomasSimonini/ppo-Huggy).
2. In step 2, choose what model you want to replay:

• I have multiple one, since we saved a model every 500000 timesteps.
• But if I want the more recent I choose Huggy.onnx

👉 What’s nice is to try with different models step to see the improvement of the agent.

在步骤1中，选择您的模型存储库，它是模型ID(在我的例子中是Thomas Simonini/ppo-huggy)。在步骤2中，选择您想要重放的模型：我有多个模型，因为我们每500000次保存一个模型。但如果我想要更新的，我选择Huggy.onnx👉什么是尝试与不同的模型步骤，以查看代理的改进。